/* * Copyright (c) 2023-2025 by FlashInfer team. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #include "batch_prefill_config.inc" #include "pytorch_extension_utils.h" at::Tensor BatchPrefillWithKVCachePlan( at::Tensor float_workspace_buffer, at::Tensor int_workspace_buffer, at::Tensor page_locked_int_workspace_buffer, at::Tensor qo_indptr, at::Tensor kv_indptr, at::Tensor kv_len_arr, int64_t total_num_rows, int64_t batch_size, int64_t num_qo_heads, int64_t num_kv_heads, int64_t page_size, bool enable_cuda_graph, int64_t head_dim_qk, int64_t head_dim_vo, bool causal); void BatchPrefillWithRaggedKVCacheRun(at::Tensor float_workspace_buffer, at::Tensor int_workspace_buffer, at::Tensor plan_info_vec, at::Tensor q, at::Tensor k, at::Tensor v, at::Tensor qo_indptr, at::Tensor kv_indptr, at::Tensor o, std::optional maybe_lse, int64_t mask_mode_code, int64_t layout, int64_t window_left, bool enable_pdl ADDITIONAL_FUNC_PARAMS); void BatchPrefillWithPagedKVCacheRun( at::Tensor float_workspace_buffer, at::Tensor int_workspace_buffer, at::Tensor plan_info_vec, at::Tensor q, at::Tensor paged_k_cache, at::Tensor paged_v_cache, at::Tensor qo_indptr, at::Tensor paged_kv_indptr, at::Tensor paged_kv_indices, at::Tensor paged_kv_last_page_len, at::Tensor o, std::optional maybe_lse, int64_t mask_mode_code, int64_t layout, int64_t window_left, bool enable_pdl ADDITIONAL_FUNC_PARAMS); TORCH_LIBRARY_FRAGMENT(TORCH_EXTENSION_NAME, m) { // Batch-request prefill attention with KV-Cache plan m.def("plan", BatchPrefillWithKVCachePlan); // Batch-request prefill attention with KV-Cache operator m.def("ragged_run", BatchPrefillWithRaggedKVCacheRun); // Batch-request prefill attention with KV-Cache operator m.def("paged_run", BatchPrefillWithPagedKVCacheRun); }